Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data
Found celeba Data

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [2]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[2]:
<matplotlib.image.AxesImage at 0x7fb0442bf080>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[3]:
<matplotlib.image.AxesImage at 0x7fb0410eb240>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.1
Default GPU Device: /gpu:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [5]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    # TODO: Implement Function
    real_placeholder = tf.placeholder(tf.float32, shape=[None, image_width, image_height, image_channels], name='real_input')
    z_placeholder = tf.placeholder(tf.float32, shape=[None, z_dim], name='z_input')
    lr_placeholder = tf.placeholder(tf.float32, name='learning_rate')
    return real_placeholder, z_placeholder, lr_placeholder


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the generator, tensor logits of the generator).

In [6]:
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param image: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    # TODO: Implement Function
    alpha=0.2
    
    with(tf.variable_scope('discriminator', reuse=reuse)):
        x = tf.layers.conv2d(images, 64, 5, strides=2, padding='same')
        x = tf.maximum(alpha * x, x)
        
        x = tf.layers.conv2d(x, 128, 5, strides=2, padding='same')
        x = tf.layers.batch_normalization(x, training=True)
        x = tf.maximum(alpha * x, x)
        
        x = tf.layers.conv2d(x, 256, 5, strides=2, padding='same')
        x = tf.layers.batch_normalization(x, training=True)
        x = tf.maximum(alpha * x, x)
        
        logits = tf.layers.dense(tf.reshape(x, (-1, 4*4*256)), 1)
        out = tf.sigmoid(logits)
    return out, logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [8]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    # TODO: Implement Function
    alpha = 0.2
    
    with tf.variable_scope('generator', reuse=not is_train):
        x = tf.layers.dense(z, 7*7*256)
        x = tf.reshape(x, [-1,7,7,256])
        x = tf.layers.batch_normalization(x, training = is_train)
        x = tf.maximum(alpha*x, x)
        
        x = tf.layers.conv2d_transpose(x, 128, 5, strides=2, padding='same')
        x = tf.layers.batch_normalization(x, training = is_train)
        x = tf.maximum(alpha*x, x)
        
        x = tf.layers.conv2d_transpose(x, 64, 5, strides=2, padding='same')
        x = tf.layers.batch_normalization(x, training = is_train)
        x = tf.maximum(alpha*x, x)
                   
        logits = tf.layers.conv2d_transpose(x, out_channel_dim, 5, strides=1, padding='same')
        out = tf.tanh(logits)
    return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [9]:
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    # TODO: Implement Function
    g_model = generator(input_z, out_channel_dim)
    d_model_real, d_logits_real = discriminator(input_real)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse = True)

    d_loss_real = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)))
    d_loss_fake = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
    g_loss = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))

    d_loss = d_loss_real + d_loss_fake

    return d_loss, g_loss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [10]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # TODO: Implement Function
    t_vars = tf.trainable_variables()
    d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
    g_vars = [var for var in t_vars if var.name.startswith('generator')]

    # Optimize
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)): 
        d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
        g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)

    return d_train_opt, g_train_opt


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [11]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [12]:
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    # TODO: Build Model
    input_real, input_z, _ = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim)

    d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
    d_opt, g_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
    steps = 0
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):
                # TODO: Train Model
                batch_images = batch_images * 2
                steps += 1

                # Sample random noise for G
                batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))

                # Run optimizers
                _ = sess.run(d_opt, feed_dict={input_real: batch_images, input_z: batch_z})
                _ = sess.run(g_opt, feed_dict={input_real:batch_images, input_z: batch_z})
                
                if steps % 10 == 0:
                    # At the end of each epoch, get the losses and print them out
                    train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
                    train_loss_g = g_loss.eval({input_z: batch_z, input_real: batch_images})

                    print("Epoch {}/{}...".format(epoch_i+1, epochs),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))

                    _ = show_generator_output(sess, 1, input_z, data_shape[3], data_image_mode)
                

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [13]:
batch_size = 32
z_dim = 512
learning_rate = 0.005
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/2... Discriminator Loss: 2.2469... Generator Loss: 1.2715
Epoch 1/2... Discriminator Loss: 0.8171... Generator Loss: 2.1590
Epoch 1/2... Discriminator Loss: 2.3667... Generator Loss: 0.6629
Epoch 1/2... Discriminator Loss: 7.0959... Generator Loss: 0.0023
Epoch 1/2... Discriminator Loss: 1.1467... Generator Loss: 1.2016
Epoch 1/2... Discriminator Loss: 1.3585... Generator Loss: 0.6260
Epoch 1/2... Discriminator Loss: 4.3336... Generator Loss: 5.5702
Epoch 1/2... Discriminator Loss: 1.4480... Generator Loss: 0.5329
Epoch 1/2... Discriminator Loss: 3.5603... Generator Loss: 0.0633
Epoch 1/2... Discriminator Loss: 1.5553... Generator Loss: 0.6671
Epoch 1/2... Discriminator Loss: 1.3516... Generator Loss: 1.2823
Epoch 1/2... Discriminator Loss: 1.2595... Generator Loss: 2.1449
Epoch 1/2... Discriminator Loss: 2.0089... Generator Loss: 0.2416
Epoch 1/2... Discriminator Loss: 0.8676... Generator Loss: 1.2768
Epoch 1/2... Discriminator Loss: 2.2094... Generator Loss: 0.2336
Epoch 1/2... Discriminator Loss: 1.7778... Generator Loss: 0.3009
Epoch 1/2... Discriminator Loss: 0.8420... Generator Loss: 1.7074
Epoch 1/2... Discriminator Loss: 0.7842... Generator Loss: 1.2995
Epoch 1/2... Discriminator Loss: 1.2348... Generator Loss: 1.9566
Epoch 1/2... Discriminator Loss: 1.0255... Generator Loss: 0.7060
Epoch 1/2... Discriminator Loss: 1.1632... Generator Loss: 0.7569
Epoch 1/2... Discriminator Loss: 0.4062... Generator Loss: 3.4881
Epoch 1/2... Discriminator Loss: 1.4950... Generator Loss: 4.9270
Epoch 1/2... Discriminator Loss: 1.4458... Generator Loss: 0.5463
Epoch 1/2... Discriminator Loss: 2.9486... Generator Loss: 0.0923
Epoch 1/2... Discriminator Loss: 1.6787... Generator Loss: 0.6152
Epoch 1/2... Discriminator Loss: 1.8824... Generator Loss: 0.2245
Epoch 1/2... Discriminator Loss: 1.8260... Generator Loss: 1.7784
Epoch 1/2... Discriminator Loss: 1.3027... Generator Loss: 0.6675
Epoch 1/2... Discriminator Loss: 1.8900... Generator Loss: 0.3159
Epoch 1/2... Discriminator Loss: 1.5823... Generator Loss: 0.9959
Epoch 1/2... Discriminator Loss: 1.2249... Generator Loss: 1.2506
Epoch 1/2... Discriminator Loss: 1.8104... Generator Loss: 0.3622
Epoch 1/2... Discriminator Loss: 1.8496... Generator Loss: 0.2424
Epoch 1/2... Discriminator Loss: 1.5522... Generator Loss: 0.4473
Epoch 1/2... Discriminator Loss: 1.4450... Generator Loss: 0.9287
Epoch 1/2... Discriminator Loss: 1.2344... Generator Loss: 0.6851
Epoch 1/2... Discriminator Loss: 1.3749... Generator Loss: 0.5951
Epoch 1/2... Discriminator Loss: 1.4375... Generator Loss: 0.5158
Epoch 1/2... Discriminator Loss: 1.5712... Generator Loss: 0.4544
Epoch 1/2... Discriminator Loss: 2.1952... Generator Loss: 0.1809
Epoch 1/2... Discriminator Loss: 1.6390... Generator Loss: 0.4641
Epoch 1/2... Discriminator Loss: 1.5555... Generator Loss: 0.4370
Epoch 1/2... Discriminator Loss: 1.8375... Generator Loss: 0.3629
Epoch 1/2... Discriminator Loss: 1.3643... Generator Loss: 0.9982
Epoch 1/2... Discriminator Loss: 1.3329... Generator Loss: 0.8614
Epoch 1/2... Discriminator Loss: 1.9165... Generator Loss: 0.2144
Epoch 1/2... Discriminator Loss: 1.1817... Generator Loss: 1.2085
Epoch 1/2... Discriminator Loss: 2.2844... Generator Loss: 0.1628
Epoch 1/2... Discriminator Loss: 1.7179... Generator Loss: 0.3920
Epoch 1/2... Discriminator Loss: 1.8782... Generator Loss: 1.1828
Epoch 1/2... Discriminator Loss: 1.2929... Generator Loss: 0.8029
Epoch 1/2... Discriminator Loss: 1.2801... Generator Loss: 0.6133
Epoch 1/2... Discriminator Loss: 1.6576... Generator Loss: 0.4017
Epoch 1/2... Discriminator Loss: 1.5388... Generator Loss: 0.5056
Epoch 1/2... Discriminator Loss: 1.8911... Generator Loss: 0.2808
Epoch 1/2... Discriminator Loss: 1.7628... Generator Loss: 0.4067
Epoch 1/2... Discriminator Loss: 1.5305... Generator Loss: 0.3735
Epoch 1/2... Discriminator Loss: 1.2009... Generator Loss: 0.7505
Epoch 1/2... Discriminator Loss: 1.2850... Generator Loss: 0.8940
Epoch 1/2... Discriminator Loss: 0.9046... Generator Loss: 1.1667
Epoch 1/2... Discriminator Loss: 2.0780... Generator Loss: 0.1750
Epoch 1/2... Discriminator Loss: 1.0386... Generator Loss: 1.0773
Epoch 1/2... Discriminator Loss: 1.0696... Generator Loss: 1.2657
Epoch 1/2... Discriminator Loss: 0.9577... Generator Loss: 1.3216
Epoch 1/2... Discriminator Loss: 1.1835... Generator Loss: 0.7177
Epoch 1/2... Discriminator Loss: 2.4995... Generator Loss: 0.1465
Epoch 1/2... Discriminator Loss: 1.1117... Generator Loss: 0.6322
Epoch 1/2... Discriminator Loss: 1.2154... Generator Loss: 0.9864
Epoch 1/2... Discriminator Loss: 1.7923... Generator Loss: 0.4118
Epoch 1/2... Discriminator Loss: 0.9314... Generator Loss: 0.9774
Epoch 1/2... Discriminator Loss: 0.9809... Generator Loss: 1.1400
Epoch 1/2... Discriminator Loss: 0.9984... Generator Loss: 1.1963
Epoch 1/2... Discriminator Loss: 1.0698... Generator Loss: 0.7624
Epoch 1/2... Discriminator Loss: 2.6166... Generator Loss: 0.1484
Epoch 1/2... Discriminator Loss: 1.0103... Generator Loss: 1.0198
Epoch 1/2... Discriminator Loss: 1.2563... Generator Loss: 0.5900
Epoch 1/2... Discriminator Loss: 0.9040... Generator Loss: 1.4351
Epoch 1/2... Discriminator Loss: 1.9384... Generator Loss: 0.2548
Epoch 1/2... Discriminator Loss: 1.4035... Generator Loss: 0.5771
Epoch 1/2... Discriminator Loss: 2.1961... Generator Loss: 0.2238
Epoch 1/2... Discriminator Loss: 1.3625... Generator Loss: 1.9310
Epoch 1/2... Discriminator Loss: 0.9976... Generator Loss: 1.0287
Epoch 1/2... Discriminator Loss: 1.1360... Generator Loss: 1.6669
Epoch 1/2... Discriminator Loss: 1.1928... Generator Loss: 0.8198
Epoch 1/2... Discriminator Loss: 1.1988... Generator Loss: 1.3781
Epoch 1/2... Discriminator Loss: 1.4320... Generator Loss: 0.8781
Epoch 1/2... Discriminator Loss: 1.6181... Generator Loss: 0.4362
Epoch 1/2... Discriminator Loss: 1.3677... Generator Loss: 0.5237
Epoch 1/2... Discriminator Loss: 0.9398... Generator Loss: 0.9216
Epoch 1/2... Discriminator Loss: 1.3517... Generator Loss: 0.5875
Epoch 1/2... Discriminator Loss: 2.3340... Generator Loss: 0.1706
Epoch 1/2... Discriminator Loss: 2.4205... Generator Loss: 0.1764
Epoch 1/2... Discriminator Loss: 1.1199... Generator Loss: 1.0867
Epoch 1/2... Discriminator Loss: 4.4860... Generator Loss: 0.0261
Epoch 1/2... Discriminator Loss: 0.9493... Generator Loss: 0.9214
Epoch 1/2... Discriminator Loss: 1.7674... Generator Loss: 0.3352
Epoch 1/2... Discriminator Loss: 1.4811... Generator Loss: 0.4052
Epoch 1/2... Discriminator Loss: 1.0293... Generator Loss: 0.7505
Epoch 1/2... Discriminator Loss: 1.2683... Generator Loss: 1.3099
Epoch 1/2... Discriminator Loss: 1.2187... Generator Loss: 1.2108
Epoch 1/2... Discriminator Loss: 1.3084... Generator Loss: 0.5189
Epoch 1/2... Discriminator Loss: 1.3537... Generator Loss: 0.4890
Epoch 1/2... Discriminator Loss: 1.5744... Generator Loss: 0.3183
Epoch 1/2... Discriminator Loss: 2.2350... Generator Loss: 0.1797
Epoch 1/2... Discriminator Loss: 0.8424... Generator Loss: 2.0142
Epoch 1/2... Discriminator Loss: 2.1556... Generator Loss: 0.2762
Epoch 1/2... Discriminator Loss: 1.2331... Generator Loss: 0.6339
Epoch 1/2... Discriminator Loss: 2.4064... Generator Loss: 0.3397
Epoch 1/2... Discriminator Loss: 1.6011... Generator Loss: 0.4168
Epoch 1/2... Discriminator Loss: 1.8562... Generator Loss: 0.3875
Epoch 1/2... Discriminator Loss: 1.3173... Generator Loss: 0.5491
Epoch 1/2... Discriminator Loss: 1.1869... Generator Loss: 0.7452
Epoch 1/2... Discriminator Loss: 4.2299... Generator Loss: 0.0248
Epoch 1/2... Discriminator Loss: 1.0060... Generator Loss: 1.4020
Epoch 1/2... Discriminator Loss: 0.8781... Generator Loss: 1.3444
Epoch 1/2... Discriminator Loss: 1.0232... Generator Loss: 1.0014
Epoch 1/2... Discriminator Loss: 1.7798... Generator Loss: 0.3512
Epoch 1/2... Discriminator Loss: 1.2258... Generator Loss: 0.6455
Epoch 1/2... Discriminator Loss: 0.9268... Generator Loss: 0.8537
Epoch 1/2... Discriminator Loss: 2.7364... Generator Loss: 0.1026
Epoch 1/2... Discriminator Loss: 0.8930... Generator Loss: 0.8223
Epoch 1/2... Discriminator Loss: 1.3650... Generator Loss: 0.5154
Epoch 1/2... Discriminator Loss: 1.3902... Generator Loss: 0.5067
Epoch 1/2... Discriminator Loss: 1.1243... Generator Loss: 0.8810
Epoch 1/2... Discriminator Loss: 1.0334... Generator Loss: 0.8781
Epoch 1/2... Discriminator Loss: 2.5078... Generator Loss: 0.1720
Epoch 1/2... Discriminator Loss: 1.3916... Generator Loss: 0.4831
Epoch 1/2... Discriminator Loss: 1.0018... Generator Loss: 1.0994
Epoch 1/2... Discriminator Loss: 1.3537... Generator Loss: 0.6180
Epoch 1/2... Discriminator Loss: 1.7037... Generator Loss: 0.4054
Epoch 1/2... Discriminator Loss: 1.3085... Generator Loss: 0.7605
Epoch 1/2... Discriminator Loss: 1.7415... Generator Loss: 0.9558
Epoch 1/2... Discriminator Loss: 2.1708... Generator Loss: 0.3211
Epoch 1/2... Discriminator Loss: 0.9195... Generator Loss: 1.1833
Epoch 1/2... Discriminator Loss: 1.5050... Generator Loss: 0.6809
Epoch 1/2... Discriminator Loss: 0.9385... Generator Loss: 1.2505
Epoch 1/2... Discriminator Loss: 0.9503... Generator Loss: 0.8513
Epoch 1/2... Discriminator Loss: 1.3969... Generator Loss: 1.0523
Epoch 1/2... Discriminator Loss: 2.2512... Generator Loss: 0.2498
Epoch 1/2... Discriminator Loss: 1.0776... Generator Loss: 1.1017
Epoch 1/2... Discriminator Loss: 1.7390... Generator Loss: 0.3352
Epoch 1/2... Discriminator Loss: 2.0659... Generator Loss: 0.2823
Epoch 1/2... Discriminator Loss: 0.8910... Generator Loss: 1.5294
Epoch 1/2... Discriminator Loss: 0.8939... Generator Loss: 1.7327
Epoch 1/2... Discriminator Loss: 1.1237... Generator Loss: 0.8281
Epoch 1/2... Discriminator Loss: 1.1601... Generator Loss: 0.6370
Epoch 1/2... Discriminator Loss: 2.6804... Generator Loss: 0.2089
Epoch 1/2... Discriminator Loss: 0.7123... Generator Loss: 1.2590
Epoch 1/2... Discriminator Loss: 2.2318... Generator Loss: 0.2076
Epoch 1/2... Discriminator Loss: 2.4918... Generator Loss: 0.1993
Epoch 1/2... Discriminator Loss: 2.0130... Generator Loss: 0.3687
Epoch 1/2... Discriminator Loss: 1.8022... Generator Loss: 0.3329
Epoch 1/2... Discriminator Loss: 2.0744... Generator Loss: 0.2634
Epoch 1/2... Discriminator Loss: 1.2144... Generator Loss: 0.6392
Epoch 1/2... Discriminator Loss: 1.2489... Generator Loss: 0.7736
Epoch 1/2... Discriminator Loss: 2.2056... Generator Loss: 0.2242
Epoch 1/2... Discriminator Loss: 1.2127... Generator Loss: 0.6886
Epoch 1/2... Discriminator Loss: 2.3687... Generator Loss: 0.1942
Epoch 1/2... Discriminator Loss: 1.1463... Generator Loss: 1.2249
Epoch 1/2... Discriminator Loss: 1.0868... Generator Loss: 0.8062
Epoch 1/2... Discriminator Loss: 1.7375... Generator Loss: 0.3501
Epoch 1/2... Discriminator Loss: 1.8957... Generator Loss: 0.2806
Epoch 1/2... Discriminator Loss: 0.9200... Generator Loss: 1.3636
Epoch 1/2... Discriminator Loss: 1.6974... Generator Loss: 0.5509
Epoch 1/2... Discriminator Loss: 1.2548... Generator Loss: 1.0025
Epoch 1/2... Discriminator Loss: 2.4158... Generator Loss: 0.2570
Epoch 1/2... Discriminator Loss: 0.8906... Generator Loss: 0.8929
Epoch 1/2... Discriminator Loss: 0.7248... Generator Loss: 1.0247
Epoch 1/2... Discriminator Loss: 1.5216... Generator Loss: 0.6618
Epoch 1/2... Discriminator Loss: 2.4413... Generator Loss: 0.2275
Epoch 1/2... Discriminator Loss: 1.6497... Generator Loss: 0.5480
Epoch 1/2... Discriminator Loss: 1.1225... Generator Loss: 0.7283
Epoch 1/2... Discriminator Loss: 1.0036... Generator Loss: 1.0362
Epoch 1/2... Discriminator Loss: 1.7427... Generator Loss: 0.5575
Epoch 1/2... Discriminator Loss: 1.5202... Generator Loss: 0.5289
Epoch 1/2... Discriminator Loss: 0.5761... Generator Loss: 1.9295
Epoch 1/2... Discriminator Loss: 1.6449... Generator Loss: 0.4630
Epoch 1/2... Discriminator Loss: 1.6037... Generator Loss: 0.3736
Epoch 1/2... Discriminator Loss: 0.7406... Generator Loss: 1.6486
Epoch 1/2... Discriminator Loss: 0.8593... Generator Loss: 0.8544
Epoch 1/2... Discriminator Loss: 1.4387... Generator Loss: 0.6184
Epoch 1/2... Discriminator Loss: 0.8323... Generator Loss: 2.4705
Epoch 1/2... Discriminator Loss: 1.2068... Generator Loss: 0.7866
Epoch 1/2... Discriminator Loss: 2.4057... Generator Loss: 0.2171
Epoch 1/2... Discriminator Loss: 0.6523... Generator Loss: 2.0129
Epoch 1/2... Discriminator Loss: 1.1896... Generator Loss: 0.7687
Epoch 2/2... Discriminator Loss: 1.5284... Generator Loss: 0.7102
Epoch 2/2... Discriminator Loss: 1.2569... Generator Loss: 0.8432
Epoch 2/2... Discriminator Loss: 2.7645... Generator Loss: 0.1501
Epoch 2/2... Discriminator Loss: 1.0723... Generator Loss: 0.9129
Epoch 2/2... Discriminator Loss: 2.2696... Generator Loss: 0.2555
Epoch 2/2... Discriminator Loss: 2.7116... Generator Loss: 0.1189
Epoch 2/2... Discriminator Loss: 1.5328... Generator Loss: 0.5035
Epoch 2/2... Discriminator Loss: 1.8819... Generator Loss: 0.4094
Epoch 2/2... Discriminator Loss: 0.9466... Generator Loss: 0.8362
Epoch 2/2... Discriminator Loss: 1.4242... Generator Loss: 0.6402
Epoch 2/2... Discriminator Loss: 2.1286... Generator Loss: 0.3619
Epoch 2/2... Discriminator Loss: 1.6301... Generator Loss: 3.5538
Epoch 2/2... Discriminator Loss: 1.7597... Generator Loss: 0.4868
Epoch 2/2... Discriminator Loss: 3.0797... Generator Loss: 0.1231
Epoch 2/2... Discriminator Loss: 1.5514... Generator Loss: 0.8730
Epoch 2/2... Discriminator Loss: 1.3126... Generator Loss: 0.7559
Epoch 2/2... Discriminator Loss: 1.5564... Generator Loss: 0.5995
Epoch 2/2... Discriminator Loss: 1.7130... Generator Loss: 0.4064
Epoch 2/2... Discriminator Loss: 2.2338... Generator Loss: 0.3021
Epoch 2/2... Discriminator Loss: 1.0685... Generator Loss: 1.1505
Epoch 2/2... Discriminator Loss: 2.0434... Generator Loss: 0.2622
Epoch 2/2... Discriminator Loss: 1.7577... Generator Loss: 0.6441
Epoch 2/2... Discriminator Loss: 1.7234... Generator Loss: 0.5210
Epoch 2/2... Discriminator Loss: 1.0628... Generator Loss: 1.1898
Epoch 2/2... Discriminator Loss: 1.5228... Generator Loss: 0.4625
Epoch 2/2... Discriminator Loss: 2.1367... Generator Loss: 0.2605
Epoch 2/2... Discriminator Loss: 0.8972... Generator Loss: 0.7717
Epoch 2/2... Discriminator Loss: 0.8362... Generator Loss: 1.1516
Epoch 2/2... Discriminator Loss: 1.1062... Generator Loss: 1.0969
Epoch 2/2... Discriminator Loss: 0.8847... Generator Loss: 0.9978
Epoch 2/2... Discriminator Loss: 2.0879... Generator Loss: 0.2424
Epoch 2/2... Discriminator Loss: 2.2010... Generator Loss: 0.2180
Epoch 2/2... Discriminator Loss: 2.9564... Generator Loss: 0.1166
Epoch 2/2... Discriminator Loss: 1.1264... Generator Loss: 1.5795
Epoch 2/2... Discriminator Loss: 1.2287... Generator Loss: 0.8319
Epoch 2/2... Discriminator Loss: 1.0776... Generator Loss: 0.8131
Epoch 2/2... Discriminator Loss: 1.2678... Generator Loss: 3.5282
Epoch 2/2... Discriminator Loss: 1.1287... Generator Loss: 0.7698
Epoch 2/2... Discriminator Loss: 0.9344... Generator Loss: 0.9720
Epoch 2/2... Discriminator Loss: 0.6618... Generator Loss: 1.4911
Epoch 2/2... Discriminator Loss: 1.1743... Generator Loss: 0.7691
Epoch 2/2... Discriminator Loss: 0.7475... Generator Loss: 1.4384
Epoch 2/2... Discriminator Loss: 0.8740... Generator Loss: 1.3468
Epoch 2/2... Discriminator Loss: 1.2307... Generator Loss: 0.6487
Epoch 2/2... Discriminator Loss: 1.4179... Generator Loss: 0.5611
Epoch 2/2... Discriminator Loss: 1.6131... Generator Loss: 0.3969
Epoch 2/2... Discriminator Loss: 0.7883... Generator Loss: 1.3567
Epoch 2/2... Discriminator Loss: 0.4543... Generator Loss: 1.5927
Epoch 2/2... Discriminator Loss: 1.2176... Generator Loss: 0.6991
Epoch 2/2... Discriminator Loss: 1.1252... Generator Loss: 0.6736
Epoch 2/2... Discriminator Loss: 0.8468... Generator Loss: 0.9948
Epoch 2/2... Discriminator Loss: 1.5562... Generator Loss: 0.4222
Epoch 2/2... Discriminator Loss: 1.2466... Generator Loss: 1.4079
Epoch 2/2... Discriminator Loss: 2.5129... Generator Loss: 5.4428
Epoch 2/2... Discriminator Loss: 0.8725... Generator Loss: 1.8040
Epoch 2/2... Discriminator Loss: 1.0221... Generator Loss: 1.0074
Epoch 2/2... Discriminator Loss: 0.6198... Generator Loss: 2.8216
Epoch 2/2... Discriminator Loss: 0.8936... Generator Loss: 1.1254
Epoch 2/2... Discriminator Loss: 0.8699... Generator Loss: 1.0820
Epoch 2/2... Discriminator Loss: 1.0427... Generator Loss: 0.7834
Epoch 2/2... Discriminator Loss: 0.9712... Generator Loss: 0.9145
Epoch 2/2... Discriminator Loss: 1.2545... Generator Loss: 0.7362
Epoch 2/2... Discriminator Loss: 0.7964... Generator Loss: 1.9702
Epoch 2/2... Discriminator Loss: 1.4943... Generator Loss: 0.5985
Epoch 2/2... Discriminator Loss: 0.5787... Generator Loss: 1.3907
Epoch 2/2... Discriminator Loss: 0.8453... Generator Loss: 0.9282
Epoch 2/2... Discriminator Loss: 1.5916... Generator Loss: 0.4209
Epoch 2/2... Discriminator Loss: 1.4549... Generator Loss: 2.9821
Epoch 2/2... Discriminator Loss: 0.6398... Generator Loss: 1.3739
Epoch 2/2... Discriminator Loss: 1.3823... Generator Loss: 0.7073
Epoch 2/2... Discriminator Loss: 2.6296... Generator Loss: 0.2132
Epoch 2/2... Discriminator Loss: 0.6237... Generator Loss: 2.0658
Epoch 2/2... Discriminator Loss: 2.2106... Generator Loss: 0.2648
Epoch 2/2... Discriminator Loss: 1.1914... Generator Loss: 0.7525
Epoch 2/2... Discriminator Loss: 1.1327... Generator Loss: 0.9725
Epoch 2/2... Discriminator Loss: 1.3640... Generator Loss: 0.5843
Epoch 2/2... Discriminator Loss: 2.8225... Generator Loss: 0.1595
Epoch 2/2... Discriminator Loss: 0.9234... Generator Loss: 4.3670
Epoch 2/2... Discriminator Loss: 1.2102... Generator Loss: 0.8944
Epoch 2/2... Discriminator Loss: 0.9517... Generator Loss: 1.1110
Epoch 2/2... Discriminator Loss: 1.2067... Generator Loss: 0.7198
Epoch 2/2... Discriminator Loss: 0.8201... Generator Loss: 1.2750
Epoch 2/2... Discriminator Loss: 1.6364... Generator Loss: 0.5733
Epoch 2/2... Discriminator Loss: 1.2075... Generator Loss: 4.3406
Epoch 2/2... Discriminator Loss: 0.9593... Generator Loss: 0.9340
Epoch 2/2... Discriminator Loss: 1.0448... Generator Loss: 1.2591
Epoch 2/2... Discriminator Loss: 0.8399... Generator Loss: 1.5583
Epoch 2/2... Discriminator Loss: 2.0929... Generator Loss: 0.3606
Epoch 2/2... Discriminator Loss: 2.4074... Generator Loss: 0.2128
Epoch 2/2... Discriminator Loss: 1.6022... Generator Loss: 0.5125
Epoch 2/2... Discriminator Loss: 1.0845... Generator Loss: 0.8539
Epoch 2/2... Discriminator Loss: 1.1579... Generator Loss: 0.8442
Epoch 2/2... Discriminator Loss: 2.1900... Generator Loss: 0.4136
Epoch 2/2... Discriminator Loss: 2.3219... Generator Loss: 0.3211
Epoch 2/2... Discriminator Loss: 1.0800... Generator Loss: 2.2771
Epoch 2/2... Discriminator Loss: 3.3473... Generator Loss: 0.0791
Epoch 2/2... Discriminator Loss: 1.0169... Generator Loss: 0.8839
Epoch 2/2... Discriminator Loss: 0.7419... Generator Loss: 1.5090
Epoch 2/2... Discriminator Loss: 1.2103... Generator Loss: 0.7069
Epoch 2/2... Discriminator Loss: 2.4186... Generator Loss: 0.2063
Epoch 2/2... Discriminator Loss: 4.0385... Generator Loss: 0.0495
Epoch 2/2... Discriminator Loss: 1.9902... Generator Loss: 0.3872
Epoch 2/2... Discriminator Loss: 3.3893... Generator Loss: 0.0780
Epoch 2/2... Discriminator Loss: 2.3186... Generator Loss: 0.2512
Epoch 2/2... Discriminator Loss: 3.0589... Generator Loss: 0.1081
Epoch 2/2... Discriminator Loss: 0.8426... Generator Loss: 1.3592
Epoch 2/2... Discriminator Loss: 0.8291... Generator Loss: 1.0747
Epoch 2/2... Discriminator Loss: 0.8195... Generator Loss: 1.2585
Epoch 2/2... Discriminator Loss: 1.3107... Generator Loss: 0.6431
Epoch 2/2... Discriminator Loss: 0.7626... Generator Loss: 1.2522
Epoch 2/2... Discriminator Loss: 0.1983... Generator Loss: 3.3482
Epoch 2/2... Discriminator Loss: 0.7351... Generator Loss: 1.0687
Epoch 2/2... Discriminator Loss: 0.9475... Generator Loss: 0.8943
Epoch 2/2... Discriminator Loss: 1.0005... Generator Loss: 1.0687
Epoch 2/2... Discriminator Loss: 3.7555... Generator Loss: 0.0674
Epoch 2/2... Discriminator Loss: 1.6060... Generator Loss: 0.4711
Epoch 2/2... Discriminator Loss: 1.3992... Generator Loss: 0.6840
Epoch 2/2... Discriminator Loss: 1.4226... Generator Loss: 0.5270
Epoch 2/2... Discriminator Loss: 0.4599... Generator Loss: 1.7040
Epoch 2/2... Discriminator Loss: 1.5126... Generator Loss: 0.7640
Epoch 2/2... Discriminator Loss: 2.7524... Generator Loss: 0.2157
Epoch 2/2... Discriminator Loss: 1.4776... Generator Loss: 0.5955
Epoch 2/2... Discriminator Loss: 2.2597... Generator Loss: 0.2429
Epoch 2/2... Discriminator Loss: 0.7990... Generator Loss: 1.4766
Epoch 2/2... Discriminator Loss: 2.3973... Generator Loss: 0.2414
Epoch 2/2... Discriminator Loss: 0.9560... Generator Loss: 2.6982
Epoch 2/2... Discriminator Loss: 1.9047... Generator Loss: 0.3096
Epoch 2/2... Discriminator Loss: 0.6642... Generator Loss: 1.1983
Epoch 2/2... Discriminator Loss: 1.7604... Generator Loss: 0.3621
Epoch 2/2... Discriminator Loss: 4.0436... Generator Loss: 0.0915
Epoch 2/2... Discriminator Loss: 1.7333... Generator Loss: 0.4725
Epoch 2/2... Discriminator Loss: 0.1592... Generator Loss: 3.9051
Epoch 2/2... Discriminator Loss: 1.0782... Generator Loss: 0.9256
Epoch 2/2... Discriminator Loss: 0.9676... Generator Loss: 1.1051
Epoch 2/2... Discriminator Loss: 1.8046... Generator Loss: 0.4417
Epoch 2/2... Discriminator Loss: 0.8349... Generator Loss: 0.9549
Epoch 2/2... Discriminator Loss: 0.5266... Generator Loss: 1.5383
Epoch 2/2... Discriminator Loss: 0.5957... Generator Loss: 1.3336
Epoch 2/2... Discriminator Loss: 2.2844... Generator Loss: 0.3870
Epoch 2/2... Discriminator Loss: 0.8920... Generator Loss: 0.8431
Epoch 2/2... Discriminator Loss: 1.0662... Generator Loss: 0.6853
Epoch 2/2... Discriminator Loss: 0.8319... Generator Loss: 1.0182
Epoch 2/2... Discriminator Loss: 1.0144... Generator Loss: 0.7409
Epoch 2/2... Discriminator Loss: 3.7013... Generator Loss: 0.0640
Epoch 2/2... Discriminator Loss: 1.3317... Generator Loss: 0.7203
Epoch 2/2... Discriminator Loss: 1.0087... Generator Loss: 1.0501
Epoch 2/2... Discriminator Loss: 0.3877... Generator Loss: 2.2506
Epoch 2/2... Discriminator Loss: 1.0043... Generator Loss: 0.9984
Epoch 2/2... Discriminator Loss: 1.4075... Generator Loss: 0.8820
Epoch 2/2... Discriminator Loss: 0.9230... Generator Loss: 1.0184
Epoch 2/2... Discriminator Loss: 1.3180... Generator Loss: 0.7197
Epoch 2/2... Discriminator Loss: 3.3192... Generator Loss: 0.1310
Epoch 2/2... Discriminator Loss: 1.5808... Generator Loss: 0.4865
Epoch 2/2... Discriminator Loss: 0.9164... Generator Loss: 1.9370
Epoch 2/2... Discriminator Loss: 0.7304... Generator Loss: 1.2962
Epoch 2/2... Discriminator Loss: 1.6016... Generator Loss: 0.4437
Epoch 2/2... Discriminator Loss: 0.7694... Generator Loss: 2.8621
Epoch 2/2... Discriminator Loss: 2.1339... Generator Loss: 0.3518
Epoch 2/2... Discriminator Loss: 0.6651... Generator Loss: 1.2259
Epoch 2/2... Discriminator Loss: 0.6696... Generator Loss: 1.2096
Epoch 2/2... Discriminator Loss: 2.9621... Generator Loss: 0.1705
Epoch 2/2... Discriminator Loss: 3.0641... Generator Loss: 0.1630
Epoch 2/2... Discriminator Loss: 1.9984... Generator Loss: 0.4610
Epoch 2/2... Discriminator Loss: 0.7930... Generator Loss: 1.2030
Epoch 2/2... Discriminator Loss: 0.4600... Generator Loss: 1.6505
Epoch 2/2... Discriminator Loss: 1.0805... Generator Loss: 0.8878
Epoch 2/2... Discriminator Loss: 1.6612... Generator Loss: 0.5456
Epoch 2/2... Discriminator Loss: 0.5501... Generator Loss: 2.0994
Epoch 2/2... Discriminator Loss: 0.7765... Generator Loss: 1.0991
Epoch 2/2... Discriminator Loss: 0.2513... Generator Loss: 2.3306
Epoch 2/2... Discriminator Loss: 0.6619... Generator Loss: 1.3009
Epoch 2/2... Discriminator Loss: 3.0043... Generator Loss: 0.2410
Epoch 2/2... Discriminator Loss: 2.0168... Generator Loss: 0.3702
Epoch 2/2... Discriminator Loss: 0.6471... Generator Loss: 1.2344
Epoch 2/2... Discriminator Loss: 1.7413... Generator Loss: 0.8676
Epoch 2/2... Discriminator Loss: 1.3366... Generator Loss: 0.6492
Epoch 2/2... Discriminator Loss: 3.2833... Generator Loss: 0.3351
Epoch 2/2... Discriminator Loss: 0.6134... Generator Loss: 1.5640
Epoch 2/2... Discriminator Loss: 0.9632... Generator Loss: 1.5635
Epoch 2/2... Discriminator Loss: 0.8318... Generator Loss: 1.4591
Epoch 2/2... Discriminator Loss: 1.0461... Generator Loss: 1.1178
Epoch 2/2... Discriminator Loss: 0.4973... Generator Loss: 3.5534
Epoch 2/2... Discriminator Loss: 0.5662... Generator Loss: 1.5014
Epoch 2/2... Discriminator Loss: 0.7245... Generator Loss: 1.4546
Epoch 2/2... Discriminator Loss: 1.5032... Generator Loss: 0.5652
Epoch 2/2... Discriminator Loss: 3.3782... Generator Loss: 0.1100
Epoch 2/2... Discriminator Loss: 1.8186... Generator Loss: 1.7261
Epoch 2/2... Discriminator Loss: 0.4966... Generator Loss: 2.2768

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [14]:
batch_size = 32
z_dim = 512
learning_rate = 0.001
beta1 = 0.5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/1... Discriminator Loss: 0.2137... Generator Loss: 2.4255
Epoch 1/1... Discriminator Loss: 0.1688... Generator Loss: 22.0642
Epoch 1/1... Discriminator Loss: 0.0049... Generator Loss: 8.4062
Epoch 1/1... Discriminator Loss: 0.0024... Generator Loss: 18.4648
Epoch 1/1... Discriminator Loss: 8.5818... Generator Loss: 0.0011
Epoch 1/1... Discriminator Loss: 1.3387... Generator Loss: 0.8757
Epoch 1/1... Discriminator Loss: 1.0009... Generator Loss: 1.3527
Epoch 1/1... Discriminator Loss: 0.3988... Generator Loss: 2.8668
Epoch 1/1... Discriminator Loss: 0.9113... Generator Loss: 0.8599
Epoch 1/1... Discriminator Loss: 0.7892... Generator Loss: 1.1838
Epoch 1/1... Discriminator Loss: 0.3699... Generator Loss: 2.2444
Epoch 1/1... Discriminator Loss: 1.5393... Generator Loss: 0.5552
Epoch 1/1... Discriminator Loss: 0.6192... Generator Loss: 1.5727
Epoch 1/1... Discriminator Loss: 0.6416... Generator Loss: 1.0771
Epoch 1/1... Discriminator Loss: 0.9307... Generator Loss: 0.9089
Epoch 1/1... Discriminator Loss: 0.9484... Generator Loss: 0.8737
Epoch 1/1... Discriminator Loss: 2.0159... Generator Loss: 0.1919
Epoch 1/1... Discriminator Loss: 0.2026... Generator Loss: 2.9702
Epoch 1/1... Discriminator Loss: 7.4828... Generator Loss: 9.9437
Epoch 1/1... Discriminator Loss: 1.0956... Generator Loss: 1.2385
Epoch 1/1... Discriminator Loss: 0.5733... Generator Loss: 1.6804
Epoch 1/1... Discriminator Loss: 1.7907... Generator Loss: 0.5452
Epoch 1/1... Discriminator Loss: 0.6376... Generator Loss: 0.9562
Epoch 1/1... Discriminator Loss: 1.6061... Generator Loss: 0.5477
Epoch 1/1... Discriminator Loss: 1.2023... Generator Loss: 0.6322
Epoch 1/1... Discriminator Loss: 2.0572... Generator Loss: 0.3904
Epoch 1/1... Discriminator Loss: 1.5371... Generator Loss: 0.8953
Epoch 1/1... Discriminator Loss: 2.1415... Generator Loss: 1.8563
Epoch 1/1... Discriminator Loss: 1.7874... Generator Loss: 1.2280
Epoch 1/1... Discriminator Loss: 1.3689... Generator Loss: 0.8963
Epoch 1/1... Discriminator Loss: 1.5672... Generator Loss: 0.3485
Epoch 1/1... Discriminator Loss: 1.6497... Generator Loss: 0.3228
Epoch 1/1... Discriminator Loss: 1.4136... Generator Loss: 0.6376
Epoch 1/1... Discriminator Loss: 2.1725... Generator Loss: 0.1886
Epoch 1/1... Discriminator Loss: 1.6413... Generator Loss: 0.8494
Epoch 1/1... Discriminator Loss: 1.1736... Generator Loss: 0.8727
Epoch 1/1... Discriminator Loss: 1.3089... Generator Loss: 0.7573
Epoch 1/1... Discriminator Loss: 2.7429... Generator Loss: 0.0764
Epoch 1/1... Discriminator Loss: 1.6700... Generator Loss: 0.4394
Epoch 1/1... Discriminator Loss: 1.9785... Generator Loss: 0.2244
Epoch 1/1... Discriminator Loss: 1.6725... Generator Loss: 0.4990
Epoch 1/1... Discriminator Loss: 1.3780... Generator Loss: 1.9927
Epoch 1/1... Discriminator Loss: 1.8955... Generator Loss: 0.2793
Epoch 1/1... Discriminator Loss: 0.7556... Generator Loss: 0.8638
Epoch 1/1... Discriminator Loss: 1.6048... Generator Loss: 0.4425
Epoch 1/1... Discriminator Loss: 1.6789... Generator Loss: 1.8763
Epoch 1/1... Discriminator Loss: 0.9663... Generator Loss: 1.2449
Epoch 1/1... Discriminator Loss: 1.7956... Generator Loss: 0.3555
Epoch 1/1... Discriminator Loss: 1.4297... Generator Loss: 0.6130
Epoch 1/1... Discriminator Loss: 1.8069... Generator Loss: 0.2859
Epoch 1/1... Discriminator Loss: 2.7801... Generator Loss: 3.5531
Epoch 1/1... Discriminator Loss: 1.7567... Generator Loss: 0.4954
Epoch 1/1... Discriminator Loss: 1.3699... Generator Loss: 0.4819
Epoch 1/1... Discriminator Loss: 1.2834... Generator Loss: 0.8855
Epoch 1/1... Discriminator Loss: 1.5727... Generator Loss: 0.3857
Epoch 1/1... Discriminator Loss: 1.5811... Generator Loss: 0.4138
Epoch 1/1... Discriminator Loss: 1.0182... Generator Loss: 0.9180
Epoch 1/1... Discriminator Loss: 1.6273... Generator Loss: 0.4097
Epoch 1/1... Discriminator Loss: 1.3269... Generator Loss: 0.6646
Epoch 1/1... Discriminator Loss: 1.9813... Generator Loss: 0.2072
Epoch 1/1... Discriminator Loss: 1.3338... Generator Loss: 0.5539
Epoch 1/1... Discriminator Loss: 2.4133... Generator Loss: 2.5451
Epoch 1/1... Discriminator Loss: 2.1908... Generator Loss: 0.2046
Epoch 1/1... Discriminator Loss: 1.4207... Generator Loss: 1.1077
Epoch 1/1... Discriminator Loss: 1.8544... Generator Loss: 0.2428
Epoch 1/1... Discriminator Loss: 1.5200... Generator Loss: 0.4987
Epoch 1/1... Discriminator Loss: 1.0898... Generator Loss: 0.9392
Epoch 1/1... Discriminator Loss: 2.4363... Generator Loss: 0.1339
Epoch 1/1... Discriminator Loss: 2.1288... Generator Loss: 0.3285
Epoch 1/1... Discriminator Loss: 1.6184... Generator Loss: 0.5117
Epoch 1/1... Discriminator Loss: 1.6137... Generator Loss: 0.4060
Epoch 1/1... Discriminator Loss: 1.6921... Generator Loss: 0.4119
Epoch 1/1... Discriminator Loss: 1.4793... Generator Loss: 1.6448
Epoch 1/1... Discriminator Loss: 1.6419... Generator Loss: 0.5196
Epoch 1/1... Discriminator Loss: 1.7051... Generator Loss: 0.5212
Epoch 1/1... Discriminator Loss: 1.1562... Generator Loss: 0.7157
Epoch 1/1... Discriminator Loss: 1.5393... Generator Loss: 0.5436
Epoch 1/1... Discriminator Loss: 1.4972... Generator Loss: 0.3711
Epoch 1/1... Discriminator Loss: 1.6880... Generator Loss: 0.3269
Epoch 1/1... Discriminator Loss: 1.8019... Generator Loss: 0.2850
Epoch 1/1... Discriminator Loss: 1.7624... Generator Loss: 0.4540
Epoch 1/1... Discriminator Loss: 1.5248... Generator Loss: 0.8986
Epoch 1/1... Discriminator Loss: 1.7051... Generator Loss: 1.6404
Epoch 1/1... Discriminator Loss: 1.6508... Generator Loss: 0.4406
Epoch 1/1... Discriminator Loss: 1.7599... Generator Loss: 1.5648
Epoch 1/1... Discriminator Loss: 2.1271... Generator Loss: 0.1666
Epoch 1/1... Discriminator Loss: 1.4044... Generator Loss: 0.6231
Epoch 1/1... Discriminator Loss: 2.6385... Generator Loss: 0.0900
Epoch 1/1... Discriminator Loss: 1.8684... Generator Loss: 0.4158
Epoch 1/1... Discriminator Loss: 1.5291... Generator Loss: 0.5998
Epoch 1/1... Discriminator Loss: 1.4547... Generator Loss: 1.2856
Epoch 1/1... Discriminator Loss: 1.4578... Generator Loss: 0.4759
Epoch 1/1... Discriminator Loss: 1.6177... Generator Loss: 0.3395
Epoch 1/1... Discriminator Loss: 2.3057... Generator Loss: 0.1496
Epoch 1/1... Discriminator Loss: 1.5299... Generator Loss: 0.4579
Epoch 1/1... Discriminator Loss: 2.1780... Generator Loss: 0.1865
Epoch 1/1... Discriminator Loss: 1.6087... Generator Loss: 0.4856
Epoch 1/1... Discriminator Loss: 1.9064... Generator Loss: 0.3137
Epoch 1/1... Discriminator Loss: 1.8229... Generator Loss: 0.2778
Epoch 1/1... Discriminator Loss: 1.2507... Generator Loss: 0.6650
Epoch 1/1... Discriminator Loss: 1.9611... Generator Loss: 0.2098
Epoch 1/1... Discriminator Loss: 1.8700... Generator Loss: 0.3709
Epoch 1/1... Discriminator Loss: 1.5625... Generator Loss: 0.4213
Epoch 1/1... Discriminator Loss: 1.6132... Generator Loss: 0.5845
Epoch 1/1... Discriminator Loss: 1.7520... Generator Loss: 0.5115
Epoch 1/1... Discriminator Loss: 1.9433... Generator Loss: 0.3106
Epoch 1/1... Discriminator Loss: 1.2613... Generator Loss: 0.7679
Epoch 1/1... Discriminator Loss: 1.4934... Generator Loss: 0.5359
Epoch 1/1... Discriminator Loss: 1.8974... Generator Loss: 1.0462
Epoch 1/1... Discriminator Loss: 1.5522... Generator Loss: 0.4414
Epoch 1/1... Discriminator Loss: 1.2132... Generator Loss: 0.9761
Epoch 1/1... Discriminator Loss: 1.8101... Generator Loss: 0.4045
Epoch 1/1... Discriminator Loss: 2.2116... Generator Loss: 1.0118
Epoch 1/1... Discriminator Loss: 2.2552... Generator Loss: 0.6731
Epoch 1/1... Discriminator Loss: 1.9121... Generator Loss: 0.2419
Epoch 1/1... Discriminator Loss: 1.7661... Generator Loss: 0.3166
Epoch 1/1... Discriminator Loss: 1.5495... Generator Loss: 0.5759
Epoch 1/1... Discriminator Loss: 1.3489... Generator Loss: 0.5584
Epoch 1/1... Discriminator Loss: 1.3197... Generator Loss: 0.4219
Epoch 1/1... Discriminator Loss: 1.4693... Generator Loss: 0.4581
Epoch 1/1... Discriminator Loss: 1.7466... Generator Loss: 0.3228
Epoch 1/1... Discriminator Loss: 1.9812... Generator Loss: 0.2980
Epoch 1/1... Discriminator Loss: 1.5843... Generator Loss: 0.3911
Epoch 1/1... Discriminator Loss: 1.9872... Generator Loss: 0.2862
Epoch 1/1... Discriminator Loss: 1.7750... Generator Loss: 0.2792
Epoch 1/1... Discriminator Loss: 1.6812... Generator Loss: 0.3295
Epoch 1/1... Discriminator Loss: 1.6596... Generator Loss: 0.4816
Epoch 1/1... Discriminator Loss: 2.1249... Generator Loss: 0.2571
Epoch 1/1... Discriminator Loss: 1.8660... Generator Loss: 0.3462
Epoch 1/1... Discriminator Loss: 1.6419... Generator Loss: 0.6446
Epoch 1/1... Discriminator Loss: 1.6873... Generator Loss: 0.4219
Epoch 1/1... Discriminator Loss: 1.6347... Generator Loss: 0.3678
Epoch 1/1... Discriminator Loss: 1.6202... Generator Loss: 0.6580
Epoch 1/1... Discriminator Loss: 2.1682... Generator Loss: 0.2033
Epoch 1/1... Discriminator Loss: 1.7222... Generator Loss: 0.3549
Epoch 1/1... Discriminator Loss: 1.4760... Generator Loss: 0.7000
Epoch 1/1... Discriminator Loss: 1.6240... Generator Loss: 0.4254
Epoch 1/1... Discriminator Loss: 1.5450... Generator Loss: 0.4182
Epoch 1/1... Discriminator Loss: 1.5011... Generator Loss: 0.5823
Epoch 1/1... Discriminator Loss: 1.6137... Generator Loss: 0.4964
Epoch 1/1... Discriminator Loss: 1.6909... Generator Loss: 0.3074
Epoch 1/1... Discriminator Loss: 1.8476... Generator Loss: 0.2413
Epoch 1/1... Discriminator Loss: 1.3122... Generator Loss: 0.5930
Epoch 1/1... Discriminator Loss: 1.2556... Generator Loss: 0.9983
Epoch 1/1... Discriminator Loss: 1.7403... Generator Loss: 0.2953
Epoch 1/1... Discriminator Loss: 1.6625... Generator Loss: 0.4289
Epoch 1/1... Discriminator Loss: 1.6465... Generator Loss: 0.4479
Epoch 1/1... Discriminator Loss: 1.6654... Generator Loss: 0.3413
Epoch 1/1... Discriminator Loss: 2.2129... Generator Loss: 0.1773
Epoch 1/1... Discriminator Loss: 1.7020... Generator Loss: 0.3216
Epoch 1/1... Discriminator Loss: 1.8350... Generator Loss: 0.4237
Epoch 1/1... Discriminator Loss: 1.8570... Generator Loss: 0.3667
Epoch 1/1... Discriminator Loss: 1.9396... Generator Loss: 0.2429
Epoch 1/1... Discriminator Loss: 1.5801... Generator Loss: 0.5430
Epoch 1/1... Discriminator Loss: 1.5556... Generator Loss: 0.4253
Epoch 1/1... Discriminator Loss: 1.8971... Generator Loss: 0.4287
Epoch 1/1... Discriminator Loss: 2.0365... Generator Loss: 0.2436
Epoch 1/1... Discriminator Loss: 0.7922... Generator Loss: 1.1047
Epoch 1/1... Discriminator Loss: 1.3431... Generator Loss: 0.5842
Epoch 1/1... Discriminator Loss: 1.9098... Generator Loss: 0.3299
Epoch 1/1... Discriminator Loss: 1.6039... Generator Loss: 0.3827
Epoch 1/1... Discriminator Loss: 1.7048... Generator Loss: 0.5668
Epoch 1/1... Discriminator Loss: 1.6869... Generator Loss: 0.4046
Epoch 1/1... Discriminator Loss: 1.8530... Generator Loss: 0.3331
Epoch 1/1... Discriminator Loss: 1.4845... Generator Loss: 0.5910
Epoch 1/1... Discriminator Loss: 1.8726... Generator Loss: 0.3770
Epoch 1/1... Discriminator Loss: 1.6737... Generator Loss: 0.3255
Epoch 1/1... Discriminator Loss: 1.5497... Generator Loss: 0.5963
Epoch 1/1... Discriminator Loss: 1.9116... Generator Loss: 0.8821
Epoch 1/1... Discriminator Loss: 1.6758... Generator Loss: 0.3747
Epoch 1/1... Discriminator Loss: 1.5657... Generator Loss: 0.6847
Epoch 1/1... Discriminator Loss: 1.6534... Generator Loss: 0.3774
Epoch 1/1... Discriminator Loss: 1.2889... Generator Loss: 0.6019
Epoch 1/1... Discriminator Loss: 1.8020... Generator Loss: 0.3714
Epoch 1/1... Discriminator Loss: 1.5263... Generator Loss: 0.6320
Epoch 1/1... Discriminator Loss: 2.1095... Generator Loss: 0.1792
Epoch 1/1... Discriminator Loss: 1.7514... Generator Loss: 0.2991
Epoch 1/1... Discriminator Loss: 1.6277... Generator Loss: 0.3846
Epoch 1/1... Discriminator Loss: 1.4741... Generator Loss: 0.3419
Epoch 1/1... Discriminator Loss: 1.4716... Generator Loss: 0.7252
Epoch 1/1... Discriminator Loss: 1.6127... Generator Loss: 0.3831
Epoch 1/1... Discriminator Loss: 1.2944... Generator Loss: 0.5706
Epoch 1/1... Discriminator Loss: 2.2809... Generator Loss: 0.1484
Epoch 1/1... Discriminator Loss: 1.8671... Generator Loss: 0.2453
Epoch 1/1... Discriminator Loss: 1.6466... Generator Loss: 0.3555
Epoch 1/1... Discriminator Loss: 1.5794... Generator Loss: 0.4452
Epoch 1/1... Discriminator Loss: 2.0511... Generator Loss: 0.2056
Epoch 1/1... Discriminator Loss: 1.5655... Generator Loss: 0.3983
Epoch 1/1... Discriminator Loss: 1.5861... Generator Loss: 0.3565
Epoch 1/1... Discriminator Loss: 1.6253... Generator Loss: 0.3766
Epoch 1/1... Discriminator Loss: 1.8212... Generator Loss: 0.3554
Epoch 1/1... Discriminator Loss: 1.8498... Generator Loss: 0.2836
Epoch 1/1... Discriminator Loss: 1.5461... Generator Loss: 0.3546
Epoch 1/1... Discriminator Loss: 1.2667... Generator Loss: 0.5856
Epoch 1/1... Discriminator Loss: 1.7918... Generator Loss: 0.3033
Epoch 1/1... Discriminator Loss: 1.6329... Generator Loss: 0.5947
Epoch 1/1... Discriminator Loss: 1.7273... Generator Loss: 0.7542
Epoch 1/1... Discriminator Loss: 1.5373... Generator Loss: 0.3871
Epoch 1/1... Discriminator Loss: 1.4137... Generator Loss: 0.5062
Epoch 1/1... Discriminator Loss: 1.5642... Generator Loss: 0.4799
Epoch 1/1... Discriminator Loss: 1.5264... Generator Loss: 0.4108
Epoch 1/1... Discriminator Loss: 1.8329... Generator Loss: 0.2846
Epoch 1/1... Discriminator Loss: 1.7786... Generator Loss: 0.4104
Epoch 1/1... Discriminator Loss: 1.5580... Generator Loss: 0.3358
Epoch 1/1... Discriminator Loss: 1.7914... Generator Loss: 0.3293
Epoch 1/1... Discriminator Loss: 1.8879... Generator Loss: 0.3277
Epoch 1/1... Discriminator Loss: 1.7155... Generator Loss: 0.6312
Epoch 1/1... Discriminator Loss: 1.8500... Generator Loss: 0.3343
Epoch 1/1... Discriminator Loss: 1.7440... Generator Loss: 0.2844
Epoch 1/1... Discriminator Loss: 1.8440... Generator Loss: 0.6069
Epoch 1/1... Discriminator Loss: 1.8377... Generator Loss: 0.3416
Epoch 1/1... Discriminator Loss: 1.7693... Generator Loss: 0.4614
Epoch 1/1... Discriminator Loss: 1.3471... Generator Loss: 0.9806
Epoch 1/1... Discriminator Loss: 1.9966... Generator Loss: 0.2158
Epoch 1/1... Discriminator Loss: 1.5444... Generator Loss: 0.5322
Epoch 1/1... Discriminator Loss: 1.9744... Generator Loss: 0.2067
Epoch 1/1... Discriminator Loss: 1.9152... Generator Loss: 0.2620
Epoch 1/1... Discriminator Loss: 1.8247... Generator Loss: 0.2334
Epoch 1/1... Discriminator Loss: 2.1803... Generator Loss: 0.2025
Epoch 1/1... Discriminator Loss: 1.6561... Generator Loss: 0.3731
Epoch 1/1... Discriminator Loss: 1.9614... Generator Loss: 0.2192
Epoch 1/1... Discriminator Loss: 1.6425... Generator Loss: 0.5767
Epoch 1/1... Discriminator Loss: 1.5419... Generator Loss: 0.3777
Epoch 1/1... Discriminator Loss: 1.9988... Generator Loss: 0.3095
Epoch 1/1... Discriminator Loss: 1.5868... Generator Loss: 0.3780
Epoch 1/1... Discriminator Loss: 2.0464... Generator Loss: 0.2787
Epoch 1/1... Discriminator Loss: 1.6985... Generator Loss: 0.3321
Epoch 1/1... Discriminator Loss: 1.8044... Generator Loss: 0.3762
Epoch 1/1... Discriminator Loss: 1.9757... Generator Loss: 0.2617
Epoch 1/1... Discriminator Loss: 1.7334... Generator Loss: 0.4169
Epoch 1/1... Discriminator Loss: 1.9376... Generator Loss: 0.2420
Epoch 1/1... Discriminator Loss: 2.0611... Generator Loss: 0.2858
Epoch 1/1... Discriminator Loss: 1.7735... Generator Loss: 0.3810
Epoch 1/1... Discriminator Loss: 1.6682... Generator Loss: 0.5672
Epoch 1/1... Discriminator Loss: 1.9558... Generator Loss: 0.2719
Epoch 1/1... Discriminator Loss: 2.0634... Generator Loss: 0.2167
Epoch 1/1... Discriminator Loss: 1.4746... Generator Loss: 0.6772
Epoch 1/1... Discriminator Loss: 2.2223... Generator Loss: 0.1802
Epoch 1/1... Discriminator Loss: 1.4667... Generator Loss: 0.5397
Epoch 1/1... Discriminator Loss: 1.8855... Generator Loss: 0.2657
Epoch 1/1... Discriminator Loss: 1.7967... Generator Loss: 0.3379
Epoch 1/1... Discriminator Loss: 1.8271... Generator Loss: 0.3129
Epoch 1/1... Discriminator Loss: 1.8055... Generator Loss: 0.2846
Epoch 1/1... Discriminator Loss: 2.2508... Generator Loss: 0.1965
Epoch 1/1... Discriminator Loss: 2.0010... Generator Loss: 0.2402
Epoch 1/1... Discriminator Loss: 2.3596... Generator Loss: 0.2391
Epoch 1/1... Discriminator Loss: 2.1897... Generator Loss: 0.1454
Epoch 1/1... Discriminator Loss: 1.5327... Generator Loss: 0.4849
Epoch 1/1... Discriminator Loss: 1.8087... Generator Loss: 0.3369
Epoch 1/1... Discriminator Loss: 1.9784... Generator Loss: 0.3753
Epoch 1/1... Discriminator Loss: 2.1066... Generator Loss: 0.2426
Epoch 1/1... Discriminator Loss: 2.1925... Generator Loss: 0.2559
Epoch 1/1... Discriminator Loss: 1.5976... Generator Loss: 0.3696
Epoch 1/1... Discriminator Loss: 1.6399... Generator Loss: 0.4828
Epoch 1/1... Discriminator Loss: 1.9797... Generator Loss: 0.2097
Epoch 1/1... Discriminator Loss: 1.7535... Generator Loss: 0.2991
Epoch 1/1... Discriminator Loss: 1.7371... Generator Loss: 0.3160
Epoch 1/1... Discriminator Loss: 2.0827... Generator Loss: 0.2043
Epoch 1/1... Discriminator Loss: 1.5406... Generator Loss: 0.3987
Epoch 1/1... Discriminator Loss: 1.7977... Generator Loss: 0.2773
Epoch 1/1... Discriminator Loss: 1.6761... Generator Loss: 0.3744
Epoch 1/1... Discriminator Loss: 1.6440... Generator Loss: 0.3727
Epoch 1/1... Discriminator Loss: 1.6419... Generator Loss: 0.3304
Epoch 1/1... Discriminator Loss: 1.7549... Generator Loss: 0.2817
Epoch 1/1... Discriminator Loss: 1.5062... Generator Loss: 0.3695
Epoch 1/1... Discriminator Loss: 1.5609... Generator Loss: 0.7036
Epoch 1/1... Discriminator Loss: 1.5836... Generator Loss: 0.3422
Epoch 1/1... Discriminator Loss: 1.8559... Generator Loss: 0.3776
Epoch 1/1... Discriminator Loss: 1.8089... Generator Loss: 0.3180
Epoch 1/1... Discriminator Loss: 1.5113... Generator Loss: 0.3841
Epoch 1/1... Discriminator Loss: 2.0990... Generator Loss: 0.2864
Epoch 1/1... Discriminator Loss: 1.7968... Generator Loss: 0.3004
Epoch 1/1... Discriminator Loss: 1.7028... Generator Loss: 0.3495
Epoch 1/1... Discriminator Loss: 1.8751... Generator Loss: 0.6986
Epoch 1/1... Discriminator Loss: 1.9781... Generator Loss: 0.2764
Epoch 1/1... Discriminator Loss: 1.7495... Generator Loss: 0.3679
Epoch 1/1... Discriminator Loss: 1.6413... Generator Loss: 0.4689
Epoch 1/1... Discriminator Loss: 1.8206... Generator Loss: 0.3225
Epoch 1/1... Discriminator Loss: 1.4666... Generator Loss: 0.3618
Epoch 1/1... Discriminator Loss: 1.6881... Generator Loss: 0.3709
Epoch 1/1... Discriminator Loss: 1.5271... Generator Loss: 0.3625
Epoch 1/1... Discriminator Loss: 1.5712... Generator Loss: 0.5390
Epoch 1/1... Discriminator Loss: 1.4746... Generator Loss: 0.5651
Epoch 1/1... Discriminator Loss: 1.5531... Generator Loss: 0.4010
Epoch 1/1... Discriminator Loss: 1.8283... Generator Loss: 0.3303
Epoch 1/1... Discriminator Loss: 1.7779... Generator Loss: 0.3780
Epoch 1/1... Discriminator Loss: 1.7693... Generator Loss: 0.3319
Epoch 1/1... Discriminator Loss: 1.8828... Generator Loss: 0.2720
Epoch 1/1... Discriminator Loss: 1.7216... Generator Loss: 0.4853
Epoch 1/1... Discriminator Loss: 1.7841... Generator Loss: 0.2500
Epoch 1/1... Discriminator Loss: 1.6263... Generator Loss: 0.4311
Epoch 1/1... Discriminator Loss: 1.5004... Generator Loss: 0.5642
Epoch 1/1... Discriminator Loss: 1.7419... Generator Loss: 0.3050
Epoch 1/1... Discriminator Loss: 1.7447... Generator Loss: 0.3437
Epoch 1/1... Discriminator Loss: 1.7591... Generator Loss: 0.3661
Epoch 1/1... Discriminator Loss: 1.5378... Generator Loss: 0.5000
Epoch 1/1... Discriminator Loss: 1.6697... Generator Loss: 0.4635
Epoch 1/1... Discriminator Loss: 2.0273... Generator Loss: 0.2062
Epoch 1/1... Discriminator Loss: 1.9023... Generator Loss: 0.2669
Epoch 1/1... Discriminator Loss: 2.0451... Generator Loss: 0.2587
Epoch 1/1... Discriminator Loss: 1.8058... Generator Loss: 0.3006
Epoch 1/1... Discriminator Loss: 1.7324... Generator Loss: 0.3371
Epoch 1/1... Discriminator Loss: 1.8378... Generator Loss: 0.2793
Epoch 1/1... Discriminator Loss: 1.5979... Generator Loss: 0.4223
Epoch 1/1... Discriminator Loss: 1.6304... Generator Loss: 0.4305
Epoch 1/1... Discriminator Loss: 1.9472... Generator Loss: 0.3049
Epoch 1/1... Discriminator Loss: 1.8580... Generator Loss: 0.2643
Epoch 1/1... Discriminator Loss: 2.0882... Generator Loss: 0.2428
Epoch 1/1... Discriminator Loss: 1.8132... Generator Loss: 0.2727
Epoch 1/1... Discriminator Loss: 1.7581... Generator Loss: 0.4545
Epoch 1/1... Discriminator Loss: 1.9240... Generator Loss: 0.2288
Epoch 1/1... Discriminator Loss: 1.3524... Generator Loss: 0.5461
Epoch 1/1... Discriminator Loss: 1.7933... Generator Loss: 0.4521
Epoch 1/1... Discriminator Loss: 1.8200... Generator Loss: 0.2726
Epoch 1/1... Discriminator Loss: 2.0455... Generator Loss: 0.1961
Epoch 1/1... Discriminator Loss: 2.2429... Generator Loss: 0.2489
Epoch 1/1... Discriminator Loss: 1.6117... Generator Loss: 0.3871
Epoch 1/1... Discriminator Loss: 1.8149... Generator Loss: 0.4082
Epoch 1/1... Discriminator Loss: 1.7849... Generator Loss: 0.3359
Epoch 1/1... Discriminator Loss: 2.0408... Generator Loss: 0.1733
Epoch 1/1... Discriminator Loss: 1.6659... Generator Loss: 0.3436
Epoch 1/1... Discriminator Loss: 1.5108... Generator Loss: 0.5650
Epoch 1/1... Discriminator Loss: 1.4888... Generator Loss: 0.4569
Epoch 1/1... Discriminator Loss: 1.6600... Generator Loss: 0.3609
Epoch 1/1... Discriminator Loss: 1.9557... Generator Loss: 0.2836
Epoch 1/1... Discriminator Loss: 1.6317... Generator Loss: 0.3167
Epoch 1/1... Discriminator Loss: 1.6998... Generator Loss: 0.7269
Epoch 1/1... Discriminator Loss: 2.1776... Generator Loss: 0.2113
Epoch 1/1... Discriminator Loss: 2.0058... Generator Loss: 0.2251
Epoch 1/1... Discriminator Loss: 1.6419... Generator Loss: 0.4439
Epoch 1/1... Discriminator Loss: 1.5252... Generator Loss: 0.4725
Epoch 1/1... Discriminator Loss: 1.7982... Generator Loss: 0.3567
Epoch 1/1... Discriminator Loss: 1.8494... Generator Loss: 0.3223
Epoch 1/1... Discriminator Loss: 2.0113... Generator Loss: 0.2469
Epoch 1/1... Discriminator Loss: 1.8360... Generator Loss: 0.4404
Epoch 1/1... Discriminator Loss: 1.8050... Generator Loss: 0.4573
Epoch 1/1... Discriminator Loss: 1.6889... Generator Loss: 0.2816
Epoch 1/1... Discriminator Loss: 1.5033... Generator Loss: 0.6665
Epoch 1/1... Discriminator Loss: 1.6803... Generator Loss: 0.4072
Epoch 1/1... Discriminator Loss: 1.9226... Generator Loss: 0.2931
Epoch 1/1... Discriminator Loss: 1.5489... Generator Loss: 0.6297
Epoch 1/1... Discriminator Loss: 1.3831... Generator Loss: 0.5323
Epoch 1/1... Discriminator Loss: 1.8393... Generator Loss: 0.3254
Epoch 1/1... Discriminator Loss: 1.8116... Generator Loss: 0.3812
Epoch 1/1... Discriminator Loss: 1.5940... Generator Loss: 0.4984
Epoch 1/1... Discriminator Loss: 1.6634... Generator Loss: 0.3401
Epoch 1/1... Discriminator Loss: 1.9869... Generator Loss: 0.3307
Epoch 1/1... Discriminator Loss: 1.7815... Generator Loss: 0.3317
Epoch 1/1... Discriminator Loss: 1.4864... Generator Loss: 0.5040
Epoch 1/1... Discriminator Loss: 1.5484... Generator Loss: 0.3906
Epoch 1/1... Discriminator Loss: 1.7757... Generator Loss: 0.5912
Epoch 1/1... Discriminator Loss: 1.7438... Generator Loss: 0.3590
Epoch 1/1... Discriminator Loss: 1.5117... Generator Loss: 0.5273
Epoch 1/1... Discriminator Loss: 1.8979... Generator Loss: 0.2441
Epoch 1/1... Discriminator Loss: 1.7709... Generator Loss: 0.3235
Epoch 1/1... Discriminator Loss: 1.8062... Generator Loss: 0.3269
Epoch 1/1... Discriminator Loss: 1.4553... Generator Loss: 0.4273
Epoch 1/1... Discriminator Loss: 1.9160... Generator Loss: 0.3354
Epoch 1/1... Discriminator Loss: 1.6890... Generator Loss: 0.3967
Epoch 1/1... Discriminator Loss: 1.6876... Generator Loss: 0.3507
Epoch 1/1... Discriminator Loss: 1.5740... Generator Loss: 0.3505
Epoch 1/1... Discriminator Loss: 1.7802... Generator Loss: 0.3517
Epoch 1/1... Discriminator Loss: 1.8544... Generator Loss: 0.2581
Epoch 1/1... Discriminator Loss: 1.3502... Generator Loss: 0.5582
Epoch 1/1... Discriminator Loss: 1.5209... Generator Loss: 0.5218
Epoch 1/1... Discriminator Loss: 1.7626... Generator Loss: 0.4125
Epoch 1/1... Discriminator Loss: 1.5013... Generator Loss: 0.5757
Epoch 1/1... Discriminator Loss: 1.4772... Generator Loss: 0.4931
Epoch 1/1... Discriminator Loss: 1.8928... Generator Loss: 0.2611
Epoch 1/1... Discriminator Loss: 1.9780... Generator Loss: 0.2388
Epoch 1/1... Discriminator Loss: 1.6038... Generator Loss: 0.3312
Epoch 1/1... Discriminator Loss: 1.5120... Generator Loss: 0.6576
Epoch 1/1... Discriminator Loss: 1.4806... Generator Loss: 0.4324
Epoch 1/1... Discriminator Loss: 1.7597... Generator Loss: 0.5035
Epoch 1/1... Discriminator Loss: 1.7921... Generator Loss: 0.2714
Epoch 1/1... Discriminator Loss: 1.4573... Generator Loss: 0.5733
Epoch 1/1... Discriminator Loss: 1.8022... Generator Loss: 0.3507
Epoch 1/1... Discriminator Loss: 1.7777... Generator Loss: 0.2810
Epoch 1/1... Discriminator Loss: 1.5542... Generator Loss: 0.5419
Epoch 1/1... Discriminator Loss: 1.4112... Generator Loss: 0.8764
Epoch 1/1... Discriminator Loss: 1.3925... Generator Loss: 0.5717
Epoch 1/1... Discriminator Loss: 1.7169... Generator Loss: 0.3747
Epoch 1/1... Discriminator Loss: 1.6780... Generator Loss: 0.3601
Epoch 1/1... Discriminator Loss: 1.5755... Generator Loss: 0.4141
Epoch 1/1... Discriminator Loss: 1.6667... Generator Loss: 0.4502
Epoch 1/1... Discriminator Loss: 1.5745... Generator Loss: 0.6077
Epoch 1/1... Discriminator Loss: 1.8540... Generator Loss: 0.2646
Epoch 1/1... Discriminator Loss: 1.7676... Generator Loss: 0.3857
Epoch 1/1... Discriminator Loss: 1.4792... Generator Loss: 0.6088
Epoch 1/1... Discriminator Loss: 1.6169... Generator Loss: 0.5764
Epoch 1/1... Discriminator Loss: 1.5640... Generator Loss: 0.5221
Epoch 1/1... Discriminator Loss: 1.5465... Generator Loss: 0.4758
Epoch 1/1... Discriminator Loss: 1.5419... Generator Loss: 0.4138
Epoch 1/1... Discriminator Loss: 1.4857... Generator Loss: 0.5441
Epoch 1/1... Discriminator Loss: 1.7703... Generator Loss: 0.2833
Epoch 1/1... Discriminator Loss: 1.6182... Generator Loss: 0.5760
Epoch 1/1... Discriminator Loss: 1.6289... Generator Loss: 0.5579
Epoch 1/1... Discriminator Loss: 1.5251... Generator Loss: 0.4197
Epoch 1/1... Discriminator Loss: 1.8216... Generator Loss: 0.3708
Epoch 1/1... Discriminator Loss: 1.5723... Generator Loss: 0.4135
Epoch 1/1... Discriminator Loss: 1.4958... Generator Loss: 0.5741
Epoch 1/1... Discriminator Loss: 1.6785... Generator Loss: 0.3441
Epoch 1/1... Discriminator Loss: 1.9131... Generator Loss: 0.2423
Epoch 1/1... Discriminator Loss: 1.8149... Generator Loss: 0.2688
Epoch 1/1... Discriminator Loss: 1.4860... Generator Loss: 0.6173
Epoch 1/1... Discriminator Loss: 1.6947... Generator Loss: 0.3662
Epoch 1/1... Discriminator Loss: 1.5999... Generator Loss: 0.3496
Epoch 1/1... Discriminator Loss: 1.4699... Generator Loss: 0.4301
Epoch 1/1... Discriminator Loss: 1.6153... Generator Loss: 0.5264
Epoch 1/1... Discriminator Loss: 1.6892... Generator Loss: 0.3154
Epoch 1/1... Discriminator Loss: 1.7069... Generator Loss: 0.3272
Epoch 1/1... Discriminator Loss: 1.5665... Generator Loss: 0.4967
Epoch 1/1... Discriminator Loss: 1.5643... Generator Loss: 0.3914
Epoch 1/1... Discriminator Loss: 1.5073... Generator Loss: 0.4470
Epoch 1/1... Discriminator Loss: 1.6643... Generator Loss: 0.4067
Epoch 1/1... Discriminator Loss: 1.9372... Generator Loss: 0.4382
Epoch 1/1... Discriminator Loss: 1.9741... Generator Loss: 0.2440
Epoch 1/1... Discriminator Loss: 1.9602... Generator Loss: 0.2208
Epoch 1/1... Discriminator Loss: 1.3856... Generator Loss: 0.6324
Epoch 1/1... Discriminator Loss: 1.5045... Generator Loss: 0.4501
Epoch 1/1... Discriminator Loss: 1.4442... Generator Loss: 0.5232
Epoch 1/1... Discriminator Loss: 1.8657... Generator Loss: 0.2306
Epoch 1/1... Discriminator Loss: 1.7228... Generator Loss: 0.3330
Epoch 1/1... Discriminator Loss: 1.4627... Generator Loss: 0.5692
Epoch 1/1... Discriminator Loss: 1.4607... Generator Loss: 0.4740
Epoch 1/1... Discriminator Loss: 1.7299... Generator Loss: 0.5585
Epoch 1/1... Discriminator Loss: 1.4500... Generator Loss: 0.5517
Epoch 1/1... Discriminator Loss: 1.5359... Generator Loss: 0.4229
Epoch 1/1... Discriminator Loss: 1.8790... Generator Loss: 0.2345
Epoch 1/1... Discriminator Loss: 1.9192... Generator Loss: 0.3402
Epoch 1/1... Discriminator Loss: 1.5092... Generator Loss: 0.3881
Epoch 1/1... Discriminator Loss: 1.6422... Generator Loss: 0.4196
Epoch 1/1... Discriminator Loss: 1.8662... Generator Loss: 0.2993
Epoch 1/1... Discriminator Loss: 1.7079... Generator Loss: 0.3274
Epoch 1/1... Discriminator Loss: 1.8442... Generator Loss: 0.2972
Epoch 1/1... Discriminator Loss: 1.6765... Generator Loss: 0.3742
Epoch 1/1... Discriminator Loss: 1.8373... Generator Loss: 0.2623
Epoch 1/1... Discriminator Loss: 1.5510... Generator Loss: 0.4574
Epoch 1/1... Discriminator Loss: 1.6579... Generator Loss: 0.3368
Epoch 1/1... Discriminator Loss: 1.5987... Generator Loss: 0.4275
Epoch 1/1... Discriminator Loss: 1.5565... Generator Loss: 0.4124
Epoch 1/1... Discriminator Loss: 1.5368... Generator Loss: 0.4704
Epoch 1/1... Discriminator Loss: 1.3784... Generator Loss: 0.5578
Epoch 1/1... Discriminator Loss: 1.9788... Generator Loss: 0.2840
Epoch 1/1... Discriminator Loss: 1.8036... Generator Loss: 0.3218
Epoch 1/1... Discriminator Loss: 1.5784... Generator Loss: 0.5585
Epoch 1/1... Discriminator Loss: 1.5336... Generator Loss: 0.4659
Epoch 1/1... Discriminator Loss: 1.4780... Generator Loss: 0.6198
Epoch 1/1... Discriminator Loss: 1.5326... Generator Loss: 0.4748
Epoch 1/1... Discriminator Loss: 1.5627... Generator Loss: 0.4966
Epoch 1/1... Discriminator Loss: 1.5341... Generator Loss: 0.4356
Epoch 1/1... Discriminator Loss: 1.6885... Generator Loss: 0.3917
Epoch 1/1... Discriminator Loss: 1.6218... Generator Loss: 0.4018
Epoch 1/1... Discriminator Loss: 1.6586... Generator Loss: 0.3634
Epoch 1/1... Discriminator Loss: 1.5447... Generator Loss: 0.4502
Epoch 1/1... Discriminator Loss: 1.2396... Generator Loss: 0.6780
Epoch 1/1... Discriminator Loss: 1.5723... Generator Loss: 0.3361
Epoch 1/1... Discriminator Loss: 1.6151... Generator Loss: 0.4163
Epoch 1/1... Discriminator Loss: 1.9970... Generator Loss: 0.2090
Epoch 1/1... Discriminator Loss: 1.7374... Generator Loss: 0.3007
Epoch 1/1... Discriminator Loss: 1.7325... Generator Loss: 0.3366
Epoch 1/1... Discriminator Loss: 1.4944... Generator Loss: 0.5694
Epoch 1/1... Discriminator Loss: 1.6238... Generator Loss: 0.3964
Epoch 1/1... Discriminator Loss: 1.8453... Generator Loss: 0.3556
Epoch 1/1... Discriminator Loss: 1.7098... Generator Loss: 0.4878
Epoch 1/1... Discriminator Loss: 1.5985... Generator Loss: 0.4125
Epoch 1/1... Discriminator Loss: 1.8059... Generator Loss: 0.3351
Epoch 1/1... Discriminator Loss: 1.7747... Generator Loss: 0.3002
Epoch 1/1... Discriminator Loss: 1.6097... Generator Loss: 0.3458
Epoch 1/1... Discriminator Loss: 1.8429... Generator Loss: 0.3342
Epoch 1/1... Discriminator Loss: 1.5653... Generator Loss: 0.4482
Epoch 1/1... Discriminator Loss: 2.3664... Generator Loss: 0.2018
Epoch 1/1... Discriminator Loss: 1.3498... Generator Loss: 0.5091
Epoch 1/1... Discriminator Loss: 1.7007... Generator Loss: 0.4658
Epoch 1/1... Discriminator Loss: 1.6161... Generator Loss: 0.9746
Epoch 1/1... Discriminator Loss: 1.4847... Generator Loss: 0.5006
Epoch 1/1... Discriminator Loss: 1.8223... Generator Loss: 0.2868
Epoch 1/1... Discriminator Loss: 1.6909... Generator Loss: 0.4198
Epoch 1/1... Discriminator Loss: 1.5188... Generator Loss: 0.5646
Epoch 1/1... Discriminator Loss: 1.7904... Generator Loss: 0.2648
Epoch 1/1... Discriminator Loss: 1.4316... Generator Loss: 0.5806
Epoch 1/1... Discriminator Loss: 1.5555... Generator Loss: 0.5718
Epoch 1/1... Discriminator Loss: 1.3288... Generator Loss: 0.6108
Epoch 1/1... Discriminator Loss: 1.8483... Generator Loss: 0.3316
Epoch 1/1... Discriminator Loss: 1.8064... Generator Loss: 0.2828
Epoch 1/1... Discriminator Loss: 1.7286... Generator Loss: 0.3460
Epoch 1/1... Discriminator Loss: 1.5774... Generator Loss: 0.3742
Epoch 1/1... Discriminator Loss: 1.3968... Generator Loss: 0.5892
Epoch 1/1... Discriminator Loss: 1.8869... Generator Loss: 0.2645
Epoch 1/1... Discriminator Loss: 1.7150... Generator Loss: 0.4264
Epoch 1/1... Discriminator Loss: 1.6366... Generator Loss: 0.3380
Epoch 1/1... Discriminator Loss: 1.7179... Generator Loss: 0.3274
Epoch 1/1... Discriminator Loss: 1.9110... Generator Loss: 0.2279
Epoch 1/1... Discriminator Loss: 1.4033... Generator Loss: 0.5951
Epoch 1/1... Discriminator Loss: 1.6628... Generator Loss: 0.3715
Epoch 1/1... Discriminator Loss: 1.7588... Generator Loss: 0.3662
Epoch 1/1... Discriminator Loss: 1.6317... Generator Loss: 0.3532
Epoch 1/1... Discriminator Loss: 1.7604... Generator Loss: 0.3286
Epoch 1/1... Discriminator Loss: 1.5825... Generator Loss: 0.7981
Epoch 1/1... Discriminator Loss: 1.6930... Generator Loss: 0.4020
Epoch 1/1... Discriminator Loss: 1.6837... Generator Loss: 0.3716
Epoch 1/1... Discriminator Loss: 1.9848... Generator Loss: 0.2598
Epoch 1/1... Discriminator Loss: 1.6157... Generator Loss: 0.3156
Epoch 1/1... Discriminator Loss: 1.5341... Generator Loss: 0.5321
Epoch 1/1... Discriminator Loss: 1.7857... Generator Loss: 0.3469
Epoch 1/1... Discriminator Loss: 1.3886... Generator Loss: 0.6121
Epoch 1/1... Discriminator Loss: 1.5321... Generator Loss: 0.4361
Epoch 1/1... Discriminator Loss: 1.5922... Generator Loss: 0.4127
Epoch 1/1... Discriminator Loss: 2.0068... Generator Loss: 0.1715
Epoch 1/1... Discriminator Loss: 1.6736... Generator Loss: 0.4918
Epoch 1/1... Discriminator Loss: 1.5134... Generator Loss: 0.6271
Epoch 1/1... Discriminator Loss: 2.1891... Generator Loss: 0.2217
Epoch 1/1... Discriminator Loss: 1.7134... Generator Loss: 0.4236
Epoch 1/1... Discriminator Loss: 2.0501... Generator Loss: 0.2483
Epoch 1/1... Discriminator Loss: 1.8083... Generator Loss: 0.3063
Epoch 1/1... Discriminator Loss: 1.4571... Generator Loss: 0.5707
Epoch 1/1... Discriminator Loss: 1.7027... Generator Loss: 0.3448
Epoch 1/1... Discriminator Loss: 1.6729... Generator Loss: 0.3385
Epoch 1/1... Discriminator Loss: 1.6549... Generator Loss: 0.3820
Epoch 1/1... Discriminator Loss: 1.4644... Generator Loss: 0.5419
Epoch 1/1... Discriminator Loss: 1.7661... Generator Loss: 0.5966
Epoch 1/1... Discriminator Loss: 1.3207... Generator Loss: 0.5359
Epoch 1/1... Discriminator Loss: 1.7083... Generator Loss: 0.3280
Epoch 1/1... Discriminator Loss: 1.6508... Generator Loss: 0.3863
Epoch 1/1... Discriminator Loss: 1.3790... Generator Loss: 0.7695
Epoch 1/1... Discriminator Loss: 1.6108... Generator Loss: 0.3485
Epoch 1/1... Discriminator Loss: 1.6153... Generator Loss: 0.3688
Epoch 1/1... Discriminator Loss: 1.8416... Generator Loss: 0.3288
Epoch 1/1... Discriminator Loss: 1.7018... Generator Loss: 0.3359
Epoch 1/1... Discriminator Loss: 1.9146... Generator Loss: 0.2980
Epoch 1/1... Discriminator Loss: 1.7740... Generator Loss: 0.3491
Epoch 1/1... Discriminator Loss: 1.7235... Generator Loss: 0.2894
Epoch 1/1... Discriminator Loss: 1.7576... Generator Loss: 0.3026
Epoch 1/1... Discriminator Loss: 1.4339... Generator Loss: 0.5840
Epoch 1/1... Discriminator Loss: 1.7518... Generator Loss: 0.3986
Epoch 1/1... Discriminator Loss: 1.5080... Generator Loss: 0.4888
Epoch 1/1... Discriminator Loss: 1.8281... Generator Loss: 0.3599
Epoch 1/1... Discriminator Loss: 1.7745... Generator Loss: 0.4097
Epoch 1/1... Discriminator Loss: 1.8379... Generator Loss: 0.3512
Epoch 1/1... Discriminator Loss: 1.6199... Generator Loss: 0.6525
Epoch 1/1... Discriminator Loss: 1.5780... Generator Loss: 0.4071
Epoch 1/1... Discriminator Loss: 1.5403... Generator Loss: 0.5390
Epoch 1/1... Discriminator Loss: 1.5625... Generator Loss: 0.3735
Epoch 1/1... Discriminator Loss: 1.6171... Generator Loss: 0.5233
Epoch 1/1... Discriminator Loss: 1.5736... Generator Loss: 0.4604
Epoch 1/1... Discriminator Loss: 1.6389... Generator Loss: 0.4447
Epoch 1/1... Discriminator Loss: 1.3204... Generator Loss: 0.6818
Epoch 1/1... Discriminator Loss: 1.5840... Generator Loss: 0.4439
Epoch 1/1... Discriminator Loss: 1.6276... Generator Loss: 0.4685
Epoch 1/1... Discriminator Loss: 1.8450... Generator Loss: 0.2485
Epoch 1/1... Discriminator Loss: 1.7190... Generator Loss: 0.3784
Epoch 1/1... Discriminator Loss: 1.6996... Generator Loss: 0.3539
Epoch 1/1... Discriminator Loss: 1.5853... Generator Loss: 0.4015
Epoch 1/1... Discriminator Loss: 1.3872... Generator Loss: 0.6652
Epoch 1/1... Discriminator Loss: 1.6840... Generator Loss: 0.5379
Epoch 1/1... Discriminator Loss: 1.5642... Generator Loss: 0.5268
Epoch 1/1... Discriminator Loss: 1.7339... Generator Loss: 0.2958
Epoch 1/1... Discriminator Loss: 1.6351... Generator Loss: 0.4466
Epoch 1/1... Discriminator Loss: 1.7591... Generator Loss: 0.3385
Epoch 1/1... Discriminator Loss: 1.3183... Generator Loss: 0.5031
Epoch 1/1... Discriminator Loss: 1.6713... Generator Loss: 0.3428
Epoch 1/1... Discriminator Loss: 1.7802... Generator Loss: 0.3262
Epoch 1/1... Discriminator Loss: 1.6390... Generator Loss: 0.3717
Epoch 1/1... Discriminator Loss: 1.8266... Generator Loss: 0.3185
Epoch 1/1... Discriminator Loss: 1.9112... Generator Loss: 0.2528
Epoch 1/1... Discriminator Loss: 1.3927... Generator Loss: 0.4601
Epoch 1/1... Discriminator Loss: 1.4875... Generator Loss: 0.4256
Epoch 1/1... Discriminator Loss: 1.4708... Generator Loss: 0.5139
Epoch 1/1... Discriminator Loss: 1.5315... Generator Loss: 0.3712
Epoch 1/1... Discriminator Loss: 1.4192... Generator Loss: 0.4712
Epoch 1/1... Discriminator Loss: 1.7350... Generator Loss: 0.3880
Epoch 1/1... Discriminator Loss: 1.7324... Generator Loss: 0.2881
Epoch 1/1... Discriminator Loss: 1.9194... Generator Loss: 0.2812
Epoch 1/1... Discriminator Loss: 1.6454... Generator Loss: 0.3534
Epoch 1/1... Discriminator Loss: 1.5293... Generator Loss: 0.3922
Epoch 1/1... Discriminator Loss: 1.8648... Generator Loss: 0.2505
Epoch 1/1... Discriminator Loss: 1.6922... Generator Loss: 0.3062
Epoch 1/1... Discriminator Loss: 1.8399... Generator Loss: 0.2844
Epoch 1/1... Discriminator Loss: 1.5084... Generator Loss: 0.5272
Epoch 1/1... Discriminator Loss: 2.0608... Generator Loss: 0.2903
Epoch 1/1... Discriminator Loss: 1.6126... Generator Loss: 0.4067
Epoch 1/1... Discriminator Loss: 1.7414... Generator Loss: 0.3168
Epoch 1/1... Discriminator Loss: 1.9630... Generator Loss: 0.2109
Epoch 1/1... Discriminator Loss: 1.5254... Generator Loss: 0.4549
Epoch 1/1... Discriminator Loss: 1.6872... Generator Loss: 0.3670
Epoch 1/1... Discriminator Loss: 2.1223... Generator Loss: 0.2150
Epoch 1/1... Discriminator Loss: 1.7256... Generator Loss: 0.3193
Epoch 1/1... Discriminator Loss: 1.3534... Generator Loss: 0.7439
Epoch 1/1... Discriminator Loss: 1.7100... Generator Loss: 0.3763
Epoch 1/1... Discriminator Loss: 1.5331... Generator Loss: 0.5165
Epoch 1/1... Discriminator Loss: 1.6844... Generator Loss: 0.3598
Epoch 1/1... Discriminator Loss: 1.3859... Generator Loss: 0.5124
Epoch 1/1... Discriminator Loss: 1.9660... Generator Loss: 0.2052
Epoch 1/1... Discriminator Loss: 1.5189... Generator Loss: 0.5115
Epoch 1/1... Discriminator Loss: 1.7657... Generator Loss: 0.3316
Epoch 1/1... Discriminator Loss: 1.3125... Generator Loss: 0.6052
Epoch 1/1... Discriminator Loss: 1.5809... Generator Loss: 0.3313
Epoch 1/1... Discriminator Loss: 1.4206... Generator Loss: 0.5423
Epoch 1/1... Discriminator Loss: 1.7428... Generator Loss: 0.3188
Epoch 1/1... Discriminator Loss: 1.6918... Generator Loss: 0.2890
Epoch 1/1... Discriminator Loss: 1.8261... Generator Loss: 0.2488
Epoch 1/1... Discriminator Loss: 1.8902... Generator Loss: 0.2502
Epoch 1/1... Discriminator Loss: 1.4564... Generator Loss: 0.5545
Epoch 1/1... Discriminator Loss: 1.8318... Generator Loss: 0.2930
Epoch 1/1... Discriminator Loss: 1.5363... Generator Loss: 0.4210
Epoch 1/1... Discriminator Loss: 1.8970... Generator Loss: 0.2495
Epoch 1/1... Discriminator Loss: 1.4048... Generator Loss: 0.4567
Epoch 1/1... Discriminator Loss: 1.4664... Generator Loss: 0.5669
Epoch 1/1... Discriminator Loss: 1.6336... Generator Loss: 0.3920
Epoch 1/1... Discriminator Loss: 1.5292... Generator Loss: 0.4530
Epoch 1/1... Discriminator Loss: 1.8872... Generator Loss: 0.2349
Epoch 1/1... Discriminator Loss: 1.3659... Generator Loss: 0.6744
Epoch 1/1... Discriminator Loss: 1.5575... Generator Loss: 0.5965
Epoch 1/1... Discriminator Loss: 1.6235... Generator Loss: 0.4454
Epoch 1/1... Discriminator Loss: 1.7146... Generator Loss: 0.3465
Epoch 1/1... Discriminator Loss: 1.6178... Generator Loss: 0.3518
Epoch 1/1... Discriminator Loss: 1.6116... Generator Loss: 0.3869
Epoch 1/1... Discriminator Loss: 1.1718... Generator Loss: 0.6748
Epoch 1/1... Discriminator Loss: 1.4640... Generator Loss: 0.4541
Epoch 1/1... Discriminator Loss: 1.8155... Generator Loss: 0.3136
Epoch 1/1... Discriminator Loss: 1.7079... Generator Loss: 0.4422
Epoch 1/1... Discriminator Loss: 1.7580... Generator Loss: 0.3481
Epoch 1/1... Discriminator Loss: 1.6331... Generator Loss: 0.4595
Epoch 1/1... Discriminator Loss: 1.5059... Generator Loss: 0.4557
Epoch 1/1... Discriminator Loss: 1.7789... Generator Loss: 0.3335
Epoch 1/1... Discriminator Loss: 1.5143... Generator Loss: 0.4422
Epoch 1/1... Discriminator Loss: 1.3407... Generator Loss: 0.5232
Epoch 1/1... Discriminator Loss: 1.6263... Generator Loss: 0.4204
Epoch 1/1... Discriminator Loss: 1.7437... Generator Loss: 0.3541
Epoch 1/1... Discriminator Loss: 1.5180... Generator Loss: 0.5315
Epoch 1/1... Discriminator Loss: 1.5474... Generator Loss: 0.4381
Epoch 1/1... Discriminator Loss: 1.7534... Generator Loss: 0.3414
Epoch 1/1... Discriminator Loss: 1.4855... Generator Loss: 0.5214

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.